Setup

library("tidyverse")
library("ggpubr")
library("zoo")
setwd("/mnt/LocalData/behaviour/aDN/aDN_behaviour")



Colours …

gg_color_hue <- function(n) {
  hues = seq(15, 375, length = n + 1)
  hcl(h = hues, l = 65, c = 100)[1:n]
}
gg_color_hue(2)
[1] "#F8766D" "#00BFC4"



getwd()
[1] "/mnt/LocalData/behaviour/aDN/aDN_behaviour"
# rawdata_list <- list.files("../",recursive = TRUE) %>% str_subset("_ALLDATA.csv") %>% str_subset("_Male_")
# all_rawdata <- tibble()
# for (rawdata_file in rawdata_list) {
#   temp <- read_csv(paste0("../",rawdata_file),progress = FALSE)
#   all_rawdata <- bind_rows(all_rawdata,temp)
# }
# # added for testing purposes - function not used in actual code
# female_pos <- function(theta,dist,ori,xmale,xfemale){
#   yrel=calculate_yrel(theta,dist)
#   xrel=calculate_xrel(ori,xmale,xfemale,yrel)
#   return(c(xrel,yrel))
# }
# calculates relative y value based on data from feat.mat
calculate_yrel <- function(theta,dist){
  yrel=dist*cos(theta)
  return(yrel)
}
calculate_xrel <- function(ori,xmale,xfemale,yrel,ppm=14.85){
  xmale_mm=xmale/ppm
  xfemale_mm=xfemale/ppm
  xrel = (xfemale_mm - (cos(ori)*yrel+xmale_mm))/(sin(ori))
  return(xrel)
} 
calculate_xrel_abs <- function(theta,dist){
  xrel=dist*sin(theta)
  return(xrel)
}
unique(all_rawdata$treatment)
[1] "C" "B" "D" "A" NA 
100*sum(is.na(all_rawdata$treatment))/nrow(all_rawdata)
[1] 1.449275
unique(all_rawdata$unique_fly[is.na(all_rawdata$treatment)])
[1] "Megan-2019_03_06_Courtship-DsxVglutTNT_Male_1234_2_9"  "Megan-2019_03_06_Courtship-DsxVglutTNT_Male_1234_2_10" "Megan-2019_03_06_Courtship-DsxVglutTNT_Male_1234_9_31" "Megan-2019_03_06_Courtship-DsxVglutTNT_Male_1234_9_32"

Megan says through out these individuals from video 1234_2 arena 5 and video 1234_9 arena 16

all_rawdata %>% 
  filter(FileName == "Megan-2019_03_06_Courtship-DsxVglutTNT_Male_1234_2") %>% 
  filter(Id == 3) %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  summarise(unique_fly = unique(unique_fly),
            l_ipsi = sum(wing_l_ang__rad<(-35*pi/180) & rel_x_abs_corr_other<0, na.rm = TRUE)/length(Frame),
            r_ipsi = sum(wing_r_ang__rad>(35*pi/180) & rel_x_abs_corr_other>0, na.rm = TRUE)/length(Frame),
            l_contra = sum(wing_l_ang__rad<(-35*pi/180) & rel_x_abs_corr_other>0, na.rm = TRUE)/length(Frame),
            r_contra = sum(wing_r_ang__rad>(35*pi/180) & rel_x_abs_corr_other<0, na.rm = TRUE)/length(Frame)
            )
all_rawdata <- all_rawdata %>% 
  arrange(FileName,Id,Frame) %>% 
  group_by(unique_fly) %>% 
  mutate(rollavg_dist_to_other = rollmean(dist_to_other__mm, 150, fill = c(NA,0,NA), align = c("center")))
all_rawdata
write_csv(all_rawdata,"all_rawdata.csv")
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            left_wing_index = 100*sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=left_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            right_wing_index = 100*sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=right_wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            both_wing_index = 100*sum(min_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=both_wing_index)) +
    geom_boxplot()
ggarrange(plotlist = list(p1,p4,p2,p3),
          labels = c("either wing","both wings","left wing","right wing"),
          hjust = -0.6,
          vjust = 2,
          ncol = 4,
          nrow = 1)

wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()
  
ggarrange(plotlist = list(p1,p2,p3),
          labels = c("either wing","ipsi wing","contra wing"),
          hjust = -0.6,
          vjust = 2,
          ncol = 3,
          nrow = 1)

wing_thresh <- 15
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()
  
ggarrange(plotlist = list(p1,p2,p3),
          labels = c("either wing","ipsi wing","contra wing"),
          hjust = -0.6,
          vjust = 2,
          ncol = 3,
          nrow = 1)

wing_thresh <- 15
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                         )
            ) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ratio = ((sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                         )
                     )/
                    ((sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                        )
               )
            ) %>%
  ggplot(aes(x=genotype,y=ratio)) +
    geom_boxplot()
  
ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("either wing","ipsi wing","contra wing","ipsi:contra"),
          hjust = -0.6,
          vjust = 2,
          ncol = 4,
          nrow = 1)

all_rawdata <- all_rawdata %>% select(-ipsi_wing,-contra_wing)
all_rawdata <- all_rawdata %>% 
  mutate(ipsi_wing = if_else(((wing_l_ang__rad<(-15*pi/180) & 
                                rel_x_abs_corr_other<=0) | 
                               (wing_r_ang__rad>(15*pi/180) & 
                                  rel_x_abs_corr_other>=0)),1,0),
         contra_wing = if_else(((wing_l_ang__rad<(-15*pi/180) & 
                                rel_x_abs_corr_other>0) | 
                               (wing_r_ang__rad>(15*pi/180) & 
                                  rel_x_abs_corr_other<0)),1,0)
         ) %>% 
  replace_na(list(ipsi_wing = 0)) %>%
  replace_na(list(contra_wing = 0))
all_rawdata
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                         )
            ) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  #filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  #filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
ggarrange(plotlist = list(p1,p3,p2,p4),
          labels = c("ipsi raw","ipsi column","contra raw","contra column"),
          hjust = -0.6,
          vjust = 2,
          ncol = 2,
          nrow = 2)

p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (15*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (20*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (25*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (30*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("ipsi, >15deg","ipsi, >20deg","ipsi, >25deg","ipsi, >30deg","ipsi, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)

p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (15*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (20*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (25*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (30*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("contra, >15deg","contra, >20deg","contra, >25deg","contra, >30deg","contra, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)

all_rawdata <- all_rawdata %>% 
  mutate(ipsi_wing_ang = if_else(rel_x_abs_corr_other>0,
                                 wing_r_ang__rad,
                                 wing_l_ang__rad),
         contra_wing_ang = if_else(rel_x_abs_corr_other<0,
                                 wing_r_ang__rad,
                                 wing_l_ang__rad)
         )
all_rawdata
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(15*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(20*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(25*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(30*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(35*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("ipsi, >15deg","ipsi, >20deg","ipsi, >25deg","ipsi, >30deg","ipsi, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)

wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(15*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(20*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(25*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(30*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(35*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("contra, >15deg","contra, >20deg","contra, >25deg","contra, >30deg","contra, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)

all_rawdata <- all_rawdata %>% 
  mutate(ipsi_wing_len = if_else(rel_x_abs_corr_other>0,
                                 wing_r_len__px,
                                 wing_l_len__px),
         contra_wing_len = if_else(rel_x_abs_corr_other<0,
                                 wing_r_len__px,
                                 wing_l_len__px)
         )
all_rawdata
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= 0) %>%
  filter(wing_r_ang__rad >= 0) %>%
  filter(dist_to_wall__mm > 2) #%>%
  #filter(max_wing_ang__rad > (15*pi/180)) 
  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= (0)) %>%
  filter(wing_r_ang__rad >= (0)) %>%
  filter(dist_to_wall__mm > 2) %>%
  filter(max_wing_ang__rad > (15*pi/180)) 
  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= (0)) %>%
  filter(wing_r_ang__rad >= (0)) %>%
  filter(dist_to_wall__mm > 2) %>%
  filter(max_wing_ang__rad > (15*pi/180)) 
  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()
ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= (0)) %>%
  filter(wing_r_ang__rad >= (0)) %>%
  filter(dist_to_wall__mm > 2) %>%
  filter(min_wing_ang__rad > (15*pi/180)) 
  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()
ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
---
title: "**Male courtship behaviour - aDN > TNT - ipsi contra**"
author: "Aaron M. Allen"
date: "10 March 2020"
output: html_notebook
---

<br/>
<br/>

# **Setup**

```{r message=FALSE}
library("tidyverse")
library("ggpubr")
library("zoo")
setwd("/mnt/LocalData/behaviour/aDN/aDN_behaviour")
```


<br/>
<br/>

### Colours ...
 
```{r}
gg_color_hue <- function(n) {
  hues = seq(15, 375, length = n + 1)
  hcl(h = hues, l = 65, c = 100)[1:n]
}
```

```{r}
gg_color_hue(2)
```



<br/>
<br/>



```{r}
getwd()
```





```{r message=FALSE}
genotypes <- read_tsv("../2019_03_06_Courtship/genotype.tsv",col_names = TRUE)
genotypes
```





```{r}
genotypes <- genotypes %>% 
  mutate(arena = round(if_else((fly_id %% 2) == 0,
                               fly_id/2,
                               (fly_id+1)/2),
                       digits = 0),
         treatment = genotype,
         sex = "male")
genotypes
```



```{r}
arena_treatment <- genotypes %>% 
  unite("unique_arena",video,arena, remove = FALSE) %>% 
  select(unique_arena,treatment)
genotypes <- genotypes %>% select(-treatment,-arena)
arena_treatment
```




```{r warning=FALSE}
# rawdata_list <- list.files("../",recursive = TRUE) %>% str_subset("_ALLDATA.csv") %>% str_subset("_Male_")
# all_rawdata <- tibble()
# for (rawdata_file in rawdata_list) {
#   temp <- read_csv(paste0("../",rawdata_file),progress = FALSE)
#   all_rawdata <- bind_rows(all_rawdata,temp)
# }
```











```{r}
all_rawdata <- read_csv("all_rawdata.csv")
#all_rawdata <- all_rawdata %>% select(-genotype)
all_rawdata
```



```{r message=FALSE}
all_rawdata <- all_rawdata %>%
  full_join(x = all_rawdata, y = genotypes, by = c("FileName"="video","Id"="fly_id")) %>% 
  replace_na(list(genotype = "CS")) %>% 
  replace_na(list(sex = "female"))
all_rawdata
```







```{r}
all_rawdata <- all_rawdata %>% 
  unite("unique_arena",FileName,Arena, remove = FALSE) %>% 
  left_join(y=arena_treatment, by = "unique_arena") %>% 
  select(-unique_arena)
all_rawdata
```

```{r}
all_rawdata %>% filter(genotype=="CS")
```



```{r}
# # added for testing purposes - function not used in actual code
# female_pos <- function(theta,dist,ori,xmale,xfemale){
#   yrel=calculate_yrel(theta,dist)
#   xrel=calculate_xrel(ori,xmale,xfemale,yrel)
#   return(c(xrel,yrel))
# }




# calculates relative y value based on data from feat.mat
calculate_yrel <- function(theta,dist){
  yrel=dist*cos(theta)
  return(yrel)
}
calculate_xrel <- function(ori,xmale,xfemale,yrel,ppm=14.85){
  xmale_mm=xmale/ppm
  xfemale_mm=xfemale/ppm
  xrel = (xfemale_mm - (cos(ori)*yrel+xmale_mm))/(sin(ori))
  return(xrel)
} 
calculate_xrel_abs <- function(theta,dist){
  xrel=dist*sin(theta)
  return(xrel)
}

```







```{r}
all_rawdata <- all_rawdata %>% 
  arrange(FileName,Arena,Frame)

all_rawdata$rel_y_other <- NA
all_rawdata$rel_x_other <- NA
all_rawdata$rel_x_abs_other <- NA
all_rawdata$rel_x_abs_corr_other <- NA

all_rawdata$rel_y_other[seq(1,nrow(all_rawdata),2)] = calculate_yrel(all_rawdata$facing_angle__rad[seq(1,nrow(all_rawdata),2)],
                                                         all_rawdata$dist_to_other__mm[seq(1,nrow(all_rawdata),2)])

all_rawdata$rel_x_other[seq(1,nrow(all_rawdata),2)] = calculate_xrel(ori = all_rawdata$ori__rad[seq(1,nrow(all_rawdata),2)],
                                                         xmale = all_rawdata$pos_x__px[seq(1,nrow(all_rawdata),2)],
                                                         xfemale = all_rawdata$pos_x__px[seq(2,nrow(all_rawdata),2)],
                                                         yrel = calculate_yrel(all_rawdata$facing_angle__rad[seq(1,nrow(all_rawdata),2)],
                                                                               all_rawdata$dist_to_other__mm[seq(1,nrow(all_rawdata),2)]))

all_rawdata$rel_x_abs_other[seq(1,nrow(all_rawdata),2)] = calculate_xrel_abs(all_rawdata$facing_angle__rad[seq(1,nrow(all_rawdata),2)],
                                                                 all_rawdata$dist_to_other__mm[seq(1,nrow(all_rawdata),2)])


all_rawdata$rel_y_other[seq(2,nrow(all_rawdata),2)] = calculate_yrel(all_rawdata$facing_angle__rad[seq(2,nrow(all_rawdata),2)],
                                                         all_rawdata$dist_to_other__mm[seq(2,nrow(all_rawdata),2)])

all_rawdata$rel_x_other[seq(2,nrow(all_rawdata),2)] = calculate_xrel(ori = all_rawdata$ori__rad[seq(2,nrow(all_rawdata),2)],
                                                         xmale = all_rawdata$pos_x__px[seq(2,nrow(all_rawdata),2)],
                                                         xfemale = all_rawdata$pos_x__px[seq(1,nrow(all_rawdata),2)],
                                                         yrel = calculate_yrel(all_rawdata$facing_angle__rad[seq(2,nrow(all_rawdata),2)],
                                                                               all_rawdata$dist_to_other__mm[seq(2,nrow(all_rawdata),2)]))

all_rawdata$rel_x_abs_other[seq(2,nrow(all_rawdata),2)] = calculate_xrel_abs(all_rawdata$facing_angle__rad[seq(2,nrow(all_rawdata),2)],
                                                                 all_rawdata$dist_to_other__mm[seq(2,nrow(all_rawdata),2)])


all_rawdata$rel_x_abs_corr_other[which(all_rawdata$rel_x_other<0)] = -all_rawdata$rel_x_abs_other[which(all_rawdata$rel_x_other<0)]
all_rawdata$rel_x_abs_corr_other[which(all_rawdata$rel_x_other>0)] = all_rawdata$rel_x_abs_other[which(all_rawdata$rel_x_other>0)]

all_rawdata
```




```{r}
unique(all_rawdata$treatment)
```

```{r}
100*sum(is.na(all_rawdata$treatment))/nrow(all_rawdata)

```

```{r}
all_rawdata[is.na(all_rawdata$treatment),]
```


```{r}
unique(all_rawdata$unique_fly[is.na(all_rawdata$treatment)])
```

Megan says through out these individuals from video 1234_2 arena 5 and video 1234_9 arena 16



```{r}

```



```{r}
write_csv(all_rawdata,"all_rawdata.csv")
```





```{r}
all_rawdata %>% 
  filter(FileName == "Megan-2019_03_06_Courtship-DsxVglutTNT_Male_1234_2") %>% 
  filter(Id == 3) %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  summarise(unique_fly = unique(unique_fly),
            l_ipsi = sum(wing_l_ang__rad<(-35*pi/180) & rel_x_abs_corr_other<0, na.rm = TRUE)/length(Frame),
            r_ipsi = sum(wing_r_ang__rad>(35*pi/180) & rel_x_abs_corr_other>0, na.rm = TRUE)/length(Frame),
            l_contra = sum(wing_l_ang__rad<(-35*pi/180) & rel_x_abs_corr_other>0, na.rm = TRUE)/length(Frame),
            r_contra = sum(wing_r_ang__rad>(35*pi/180) & rel_x_abs_corr_other<0, na.rm = TRUE)/length(Frame)
            )

```






```{r}
all_rawdata <- all_rawdata %>% 
  arrange(FileName,Id,Frame) %>% 
  group_by(unique_fly) %>% 
  mutate(rollavg_dist_to_other = rollmean(dist_to_other__mm, 150, fill = c(NA,0,NA), align = c("center")))
all_rawdata
```




```{r}
write_csv(all_rawdata,"all_rawdata.csv")
```




























```{r warning=FALSE, fig.width=16, fig.height=8}
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            left_wing_index = 100*sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=left_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            right_wing_index = 100*sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=right_wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            both_wing_index = 100*sum(min_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=both_wing_index)) +
    geom_boxplot()
ggarrange(plotlist = list(p1,p4,p2,p3),
          labels = c("either wing","both wings","left wing","right wing"),
          hjust = -0.6,
          vjust = 2,
          ncol = 4,
          nrow = 1)
```














```{r warning=FALSE, fig.width=16, fig.height=8}
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(35*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()

  
ggarrange(plotlist = list(p1,p2,p3),
          labels = c("either wing","ipsi wing","contra wing"),
          hjust = -0.6,
          vjust = 2,
          ncol = 3,
          nrow = 1)
```



















```{r warning=FALSE, fig.width=16, fig.height=8}
wing_thresh <- 15
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()

  
ggarrange(plotlist = list(p1,p2,p3),
          labels = c("either wing","ipsi wing","contra wing"),
          hjust = -0.6,
          vjust = 2,
          ncol = 3,
          nrow = 1)
```










```{r warning=FALSE, fig.width=16, fig.height=8}
wing_thresh <- 15
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(max_wing_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180),
                                 na.rm = TRUE)/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                         )
            ) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()



p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ratio = ((sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                         )
                     )/
                    ((sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                        )
               )
            ) %>%
  ggplot(aes(x=genotype,y=ratio)) +
    geom_boxplot()







  
ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("either wing","ipsi wing","contra wing","ipsi:contra"),
          hjust = -0.6,
          vjust = 2,
          ncol = 4,
          nrow = 1)
```




```{r}
all_rawdata <- all_rawdata %>% select(-ipsi_wing,-contra_wing)
```



```{r}
all_rawdata <- all_rawdata %>% 
  mutate(ipsi_wing = if_else(((wing_l_ang__rad<(-15*pi/180) & 
                                rel_x_abs_corr_other<=0) | 
                               (wing_r_ang__rad>(15*pi/180) & 
                                  rel_x_abs_corr_other>=0)),1,0),
         contra_wing = if_else(((wing_l_ang__rad<(-15*pi/180) & 
                                rel_x_abs_corr_other>0) | 
                               (wing_r_ang__rad>(15*pi/180) & 
                                  rel_x_abs_corr_other<0)),1,0)
         ) %>% 
  replace_na(list(ipsi_wing = 0)) %>%
  replace_na(list(contra_wing = 0))
all_rawdata
```










```{r warning=FALSE, fig.width=12, fig.height=12}


p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            ipsi_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<=0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>=0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                                         )
            ) %>%
  ggplot(aes(x=genotype,y=ipsi_wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            contra_wing_index = 100*(sum(wing_l_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<(-wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>0,
                                 na.rm = TRUE) +
                                   sum(wing_r_ang__rad[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]>(wing_thresh*pi/180) &
                                        rel_x_abs_corr_other[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]<0,
                                 na.rm = TRUE)
                                 )/
                                 length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=contra_wing_index)) +
    geom_boxplot()




p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  #filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  #filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()




ggarrange(plotlist = list(p1,p3,p2,p4),
          labels = c("ipsi raw","ipsi column","contra raw","contra column"),
          hjust = -0.6,
          vjust = 2,
          ncol = 2,
          nrow = 2)

```






















```{r warning=FALSE, fig.width=16, fig.height=6}
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (15*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (20*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (25*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (30*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(ipsi_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()




ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("ipsi, >15deg","ipsi, >20deg","ipsi, >25deg","ipsi, >30deg","ipsi, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)

```










```{r warning=FALSE, fig.width=16, fig.height=6}
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (15*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (20*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (25*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (30*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  filter(max_wing_ang__rad > (35*pi/180)) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(contra_wing[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ],
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*600)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        (which.max(SmoothedCourtship)+(25*600))),
                                                                                  (which.max(SmoothedCourtship)+(25*600))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()




ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("contra, >15deg","contra, >20deg","contra, >25deg","contra, >30deg","contra, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)

```















```{r}
all_rawdata <- all_rawdata %>% 
  mutate(ipsi_wing_ang = if_else(rel_x_abs_corr_other>0,
                                 wing_r_ang__rad,
                                 wing_l_ang__rad),
         contra_wing_ang = if_else(rel_x_abs_corr_other<0,
                                 wing_r_ang__rad,
                                 wing_l_ang__rad)
         )
all_rawdata
```










```{r warning=FALSE, fig.width=16, fig.height=4}
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(15*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(20*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(25*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(30*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(ipsi_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(35*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()




ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("ipsi, >15deg","ipsi, >20deg","ipsi, >25deg","ipsi, >30deg","ipsi, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)
```













```{r warning=FALSE, fig.width=16, fig.height=4}
wind <- 600
p1 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(15*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>% 
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p2 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(20*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p3 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(25*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p4 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(30*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()
p5 <- all_rawdata %>% 
  filter(genotype != "CS") %>% 
  group_by(genotype) %>% 
  group_by(unique_fly) %>% 
  summarise(genotype = unique(genotype),
            wing_index = 100*sum(abs(contra_wing_ang[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ])>(35*pi/180),
                                 na.rm = TRUE)/
              length(Frame[which.max(SmoothedCourtship):ifelse(which.max(SmoothedCopulation) > which.max(SmoothedCourtship),
                                                                                 ifelse(which.max(SmoothedCopulation) <= (which.max(SmoothedCourtship)+(25*wind)), 
                                                                                        which.max(SmoothedCopulation), 
                                                                                        min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                        ),
                                                                                  min((which.max(SmoothedCourtship)+(25*wind)),max(Frame))
                                                                                  )
                                             ]
                     )) %>%
  ggplot(aes(x=genotype,y=wing_index)) +
    geom_boxplot()




ggarrange(plotlist = list(p1,p3,p2,p4,p5),
          labels = c("contra, >15deg","contra, >20deg","contra, >25deg","contra, >30deg","contra, >35deg"),
          hjust = 0,
          vjust = 2,
          ncol = 5,
          nrow = 1)
```












```{r}
all_rawdata <- all_rawdata %>% 
  mutate(ipsi_wing_len = if_else(rel_x_abs_corr_other>0,
                                 wing_r_len__px,
                                 wing_l_len__px),
         contra_wing_len = if_else(rel_x_abs_corr_other<0,
                                 wing_r_len__px,
                                 wing_l_len__px)
         )
all_rawdata
```



```{r warning=FALSE, fig.width=12, fig.height=12}
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= 0) %>%
  filter(wing_r_ang__rad >= 0) %>%
  filter(dist_to_wall__mm > 2) #%>%
  #filter(max_wing_ang__rad > (15*pi/180)) 

  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()

ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
```




```{r warning=FALSE, fig.width=12, fig.height=12}
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= (0)) %>%
  filter(wing_r_ang__rad >= (0)) %>%
  filter(dist_to_wall__mm > 2) %>%
  filter(max_wing_ang__rad > (15*pi/180)) 

  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,1000),na.value = "white") +
  theme_void() +
  coord_polar()

ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
```
















```{r warning=FALSE, fig.width=12, fig.height=12}
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= (0)) %>%
  filter(wing_r_ang__rad >= (0)) %>%
  filter(dist_to_wall__mm > 2) %>%
  filter(max_wing_ang__rad > (15*pi/180)) 

  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(10,1000),na.value = "white") +
  theme_void() +
  coord_polar()

ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
```


















```{r warning=FALSE, fig.width=12, fig.height=12}
temp <- all_rawdata %>% 
  filter(dist_to_other__mm > 2.5) %>% 
  filter(dist_to_other__mm < 10) %>% 
  filter(max_wing_ang__rad < (2*pi/3)) %>%
  filter(min_wing_ang__rad >= (0)) %>%
  filter(wing_l_ang__rad > (-2*pi/3)) %>%
  filter(wing_r_ang__rad < (2*pi/3)) %>%
  filter(wing_l_ang__rad <= (0)) %>%
  filter(wing_r_ang__rad >= (0)) %>%
  filter(dist_to_wall__mm > 2) %>%
  filter(min_wing_ang__rad > (15*pi/180)) 

  
  
p1 <- temp %>%
  filter(genotype == "A") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()
p2 <- temp %>%
  filter(genotype == "B") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()
p3 <- temp %>%
  filter(genotype == "C") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()
p4 <- temp %>%
  filter(genotype == "D") %>% 
  ggplot() +
  geom_bin2d(aes(x=abs(ipsi_wing_ang), y=ipsi_wing_len), bins = c(200,50)) +
  geom_bin2d(aes(x=-abs(contra_wing_ang), y=contra_wing_len), bins = c(200,50)) +
  xlim(-pi,pi) +
  ylim(0,60) + 
  scale_fill_continuous(type = "viridis",limits = c(0,500),na.value = "white") +
  theme_void() +
  coord_polar()

ggarrange(plotlist = list(p1,p2,p3,p4),
          labels = c("A","B","C","D"),
          #hjust = 1,
          ncol = 2,
          nrow = 2)

rm(temp)
```



















































